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Advances in Quantum Deep Learning: An Overview

Advances in Quantum Deep Learning: An Overview

8 May 2020
Siddhant Garg
Goutham Ramakrishnan
ArXivPDFHTML

Papers citing "Advances in Quantum Deep Learning: An Overview"

6 / 6 papers shown
Title
Distributed and Secure Kernel-Based Quantum Machine Learning
Distributed and Secure Kernel-Based Quantum Machine Learning
Arjhun Swaminathan
Mete Akgun
35
0
0
16 Aug 2024
Modeling stochastic eye tracking data: A comparison of quantum
  generative adversarial networks and Markov models
Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models
Shailendra Bhandari
P. Lencastre
Pedro G. Lind
GAN
21
0
0
01 Aug 2024
Decentralized Quantum Federated Learning for Metaverse: Analysis, Design
  and Implementation
Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementation
Devya Gurung
Shiva Raj Pokhrel
Gang Li
35
5
0
20 Jun 2023
Rapid training of quantum recurrent neural networks
Rapid training of quantum recurrent neural networks
M. Siemaszko
A. Buraczewski
Bertrand Le Saux
Magdalena Stobiñska
27
9
0
01 Jul 2022
Evolution strategies: Application in hybrid quantum-classical neural
  networks
Evolution strategies: Application in hybrid quantum-classical neural networks
Lucas Friedrich
Jonas Maziero
21
8
0
17 May 2022
A Review of Machine Learning Classification Using Quantum Annealing for
  Real-world Applications
A Review of Machine Learning Classification Using Quantum Annealing for Real-world Applications
R. K. Nath
Himanshu Thapliyal
Travis S. Humble
AI4CE
20
32
0
05 Jun 2021
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